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<h1><a href="games_v1.html">Google Play Games Services API</a> . <a href="games_v1.stats.html">stats</a></h1>
<h2>Instance Methods</h2>
<p class="toc_element">
  <code><a href="#close">close()</a></code></p>
<p class="firstline">Close httplib2 connections.</p>
<p class="toc_element">
  <code><a href="#get">get(x__xgafv=None)</a></code></p>
<p class="firstline">Returns engagement and spend statistics in this application for the currently authenticated user.</p>
<h3>Method Details</h3>
<div class="method">
    <code class="details" id="close">close()</code>
  <pre>Close httplib2 connections.</pre>
</div>

<div class="method">
    <code class="details" id="get">get(x__xgafv=None)</code>
  <pre>Returns engagement and spend statistics in this application for the currently authenticated user.

Args:
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # A third party stats resource.
  &quot;avg_session_length_minutes&quot;: 3.14, # Average session length in minutes of the player. E.g., 1, 30, 60, ... . Not populated if there is not enough information.
  &quot;churn_probability&quot;: 3.14, # The probability of the player not returning to play the game in the next day. E.g., 0, 0.1, 0.5, ..., 1.0. Not populated if there is not enough information.
  &quot;days_since_last_played&quot;: 42, # Number of days since the player last played this game. E.g., 0, 1, 5, 10, ... . Not populated if there is not enough information.
  &quot;high_spender_probability&quot;: 3.14, # The probability of the player going to spend beyond a threshold amount of money. E.g., 0, 0.25, 0.50, 0.75. Not populated if there is not enough information.
  &quot;kind&quot;: &quot;A String&quot;, # Uniquely identifies the type of this resource. Value is always the fixed string `games#statsResponse`.
  &quot;num_purchases&quot;: 42, # Number of in-app purchases made by the player in this game. E.g., 0, 1, 5, 10, ... . Not populated if there is not enough information.
  &quot;num_sessions&quot;: 42, # The approximate number of sessions of the player within the last 28 days, where a session begins when the player is connected to Play Games Services and ends when they are disconnected. E.g., 0, 1, 5, 10, ... . Not populated if there is not enough information.
  &quot;num_sessions_percentile&quot;: 3.14, # The approximation of the sessions percentile of the player within the last 30 days, where a session begins when the player is connected to Play Games Services and ends when they are disconnected. E.g., 0, 0.25, 0.5, 0.75. Not populated if there is not enough information.
  &quot;spend_percentile&quot;: 3.14, # The approximate spend percentile of the player in this game. E.g., 0, 0.25, 0.5, 0.75. Not populated if there is not enough information.
  &quot;spend_probability&quot;: 3.14, # The probability of the player going to spend the game in the next seven days. E.g., 0, 0.25, 0.50, 0.75. Not populated if there is not enough information.
  &quot;total_spend_next_28_days&quot;: 3.14, # The predicted amount of money that the player going to spend in the next 28 days. E.g., 1, 30, 60, ... . Not populated if there is not enough information.
}</pre>
</div>

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